Evidence map›Paper›PMID 35150709›Full record

ArticleEnvironmental research2022

Effects of environmental parameters and their interactions on the spreading of SARS-CoV-2 in North Italy under different social restrictions. A new approach based on multivariate analysis.

Fabio Tateo, Sirio Fiorino, Luca Peruzzo, Maddalena Zippi, Dario De Biase, Federico Lari, Dora Melucci

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06548841 (Development and Validation of), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06548841 completednot on this mapstarted 2024, after this paper: background citation

Development and Validation of (Bio)Sensors for the Identification of Pathogens

TypeobservationalSponsorUniversity of BolognaRan2024 to 2025Enrolled149ConditionsInfections, Infection, Bacterial, Infection Viral, Infection, ParasiteArmsNanobiotechnology platforms
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Fabio TateoInstitute of Geosciences and Earth Resources (IGG), National Research Council of Italy (CNR), Via G. Gradenigo, 6, 35131, Padova, Italy.
Sirio FiorinoInternal Medicine Unit, Budrio Hospital, Azienda USL, Via Benni, 44, 40054, Bologna, Italy.
Luca PeruzzoInstitute of Geosciences and Earth Resources (IGG), National Research Council of Italy (CNR), Via G. Gradenigo, 6, 35131, Padova, Italy. Electronic address: luca.peruzzo@igg.cnr.it.
Maddalena ZippiUnit of Gastroenterology and Digestive Endoscopy, Sandro Pertini Hospital, Via dei Monti Tiburtini 385, 00157, Rome, Italy.
Dario De BiaseDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy.
Federico LariInternal Medicine Unit, Budrio Hospital, Azienda USL, Via Benni, 44, 40054, Bologna, Italy.
Dora MelucciDepartment of Chemistry Ciamician, University of Bologna, Via Selmi, 2, 40126, Bologna, Italy.
Azienda USL di Bologna · ITInstitute of Geosciences and Earth Resources · ITUniversity of Bologna · ITOspedale Sandro Pertini · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2020 North Italy suffered the SARS-CoV-2-related pandemic with a high number of deaths and hospitalization. The effect of atmospheric parameters on the amount of hospital admissions (temperature, solar radiation, particulate matter, relative humidity and wind speed) is studied through about 8 months (May-December). Two periods are considered depending on different conditions: a) low incidence of COVID-19 and very few regulations concerning personal mobility and protection ("free/summer period"); b) increasing incidence of disease, social restrictions and use of personal protections ("confined/autumn period"). The "hospitalized people in medical area wards/100000 residents" was used as a reliable measure of COVID-19 spreading and load on the sanitary system. We developed a chemometric approach (multiple linear regression analysis) using the daily incidence of hospitalizations as a function of the single independent variables and of their products (interactions). Eight administrative domains were considered (altogether 26 million inhabitants) to account for relatively homogeneous territorial and social conditions. The obtained models very significantly match the daily variation of hospitalizations, during the two periods. Under the confined/autumn period, the effect of non-pharmacologic measures (social distances, personal protection, etc.) possibly attenuates the virus diffusion despite environmental factors. On the contrary, in the free/summer conditions the effects of atmospheric parameters are very significant through all the areas. Particulate matter matches the growth of hospitalizations in areas with low chronic particulate pollution. Fewer hospitalizations strongly correspond to higher temperature and solar radiation. Relative humidity plays the same role, but with a lesser extent. The interaction between solar radiation and high temperature is also highly significant and represents surprising evidence. The solar radiation alone and combined with high temperature exert an anti-SARS-CoV-2 effect, via both the direct inactivation of virions and the stimulation of vitamin D synthesis, improving immune system function.

Indexed as

Air PollutionCOVID-19HumansItalyMultivariate AnalysisParticulate MatterSARS-CoV-2Particulate MatterChemometricsCOVID-19HospitalizationParticulate matterRelative humiditySARS-CoV-2Solar radiationTemperature

Identifiers

PMID35150709
PMCPMC8828377
OpenAlexW4211093861

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.